Browsing by Author "Verges, Álvaro"

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    Motives of Use and Internet Addiction: Development and Evidence of Validity of a Scale to Evaluate Motives of Internet Use
    (2022) Rosell Cisternas, Javiera; Verges, Álvaro; Torres Irribarra, David; Sepúlveda Caro, Sofía Valeria; Flores, Karina
    The motives for Internet use are crucial to understanding why people get and stay online despite negative consequences. This study aimed to develop and evaluate the psychometric properties of a questionnaire of Internet use motives in Spanish and its relationship with Internet addiction. The sample (N = 417) was divided into two subsamples: the first one used to perform a confirmatory factor analysis and the second one to cross-validate the retained model. Multi-group analysis by age and gender yielded evidence of invariance. The final questionnaire contains 20 items with a 5-factor structure with good psychometric properties. Finally, a structural equation model was fitted to evaluate the relationship between motives of Internet use and Internet addiction, in which a significant association was observed between coping, enhancement, and utility motives with Internet addiction. The questionnaire of Internet use motives (MUI) is useful to get reliable evaluation of motives for Internet use in Spanish-speaking population.
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    Wording effects in assessment: missing the trees for the forest
    (2022) Ponce Cisternas Fernando Patricio; Torres Irribarra, David; Verges, Álvaro; Arias, Victor B.
    This article examines wording effects when positive and negative worded items are includedin psychological assessment. Wordings effects have been analyzed in the literature usingstatistical approaches based on population homogeneity assumptions (i.e. CFA, SEM), com-monly adopting the bifactor model to separate trait variance and wording effects. This art-icle presents an alternative approach by explicitly modeling population heterogeneitythrough a latent profile model, based on the idea that a subset of individuals exhibits word-ing effects. This kind of mixture model allows simultaneously to classify respondents, sub-stantively characterize the differences in their response profiles, and report respondents’results in a comparable manner. Using the Rosenberg’s self-esteem scale data from the LISSPanel (N¼6,762) in three studies, we identify a subgroup of participants who respond dif-ferentially according to item-wording and examine the impact of its responses in the esti-mation of the RSES measurement model, in terms of global and individual fit, under one-factor and bifactor models.The results of these analyses support the interpretation of wording effects in terms of a the-oretically-proposed differential pattern of response to positively and negatively wordeditems, introducing a valuable tool for examining the artifactual or substantive interpretationsof such wording effects.